{"id":"W4242737033","doi":"10.1037/e612202012-001","title":"Substance Use among Adolescents in Child Welfare versus Adolescents in the General Population: A Comparison of the Maltreatment and Adolescent Pathways (MAP) Longitudinal Study and the Ontario Student Drug Use Survey (OSDUS) Datasets","year":2009,"lang":"en","type":"dataset","venue":"PsycEXTRA Dataset","topic":"Prenatal Substance Exposure Effects","field":"Medicine","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Welfare; Longitudinal study; Substance use; Psychology; Population; Adolescent health; Longitudinal data; Monitoring the Future; Substance abuse; Developmental psychology; Geography; Clinical psychology; Demography; Environmental health; Medicine; Psychiatry; Political science; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009530227,0.001107914,0.001166917,0.002194458,0.0006368701,0.000971554,0.003135714,0.001408473,0.01002423],"category_scores_gemma":[0.005306617,0.0007024967,0.001502207,0.00499033,0.0003477656,0.0005971677,0.001268496,0.001419377,0.006195015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00397434,"about_ca_system_score_gemma":0.004263481,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3816482,"about_ca_topic_score_gemma":0.5113831,"domain_scores_codex":[0.9993027,0.0001029684,0.00009944682,0.0001985157,0.0001829608,0.0001133125],"domain_scores_gemma":[0.997598,0.0004155786,0.0005324227,0.0003883602,0.00075474,0.0003109371],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0008371457,0.0001577907,0.05245454,0.001090633,0.0006198114,0.0001065063,0.0001343716,0.001340328,0.0003101043,0.0005339512,0.9365053,0.005909574],"study_design_scores_gemma":[0.001587214,0.00008933163,0.5458277,0.0006510547,0.0004965773,0.0002764876,0.0004460937,0.002790992,0.0007894745,0.0006650112,0.4462485,0.0001314976],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.001781791,0.00005056293,0.00002975113,0.00005586062,0.000009151883,0.00001330769,0.9978796,0.00003544644,0.0001445854],"genre_scores_gemma":[0.002842245,0.00007163125,0.0001600793,0.000044851,0.000005785215,0.00009164992,0.9963014,0.00001261644,0.0004696852],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.6183518,"threshold_uncertainty_score":0.7588535,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05252395320736696,"score_gpt":0.3230469931089998,"score_spread":0.2705230399016328,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}